crop disease detection and recommendation system. The application uses a machine learning model to analyze images of crops and provide recommendations for treatment. The user interface is built using HTML, CSS, and JavaScript, and the backend is powered by Flask, a Python web framework. The system is designed to help farmers identify crop diseases early and take appropriate action to protect their crops and improve yields.

files to be committed:

dataset_extracted/plantvillage dataset/color/Apple___Apple_scab/3f65aa69-06c9-423f-ac7a-e2ab67f3e2e4___FREC_Scab 3220.JPG

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java script

css commit

html commit

first commit

first commit